www.eia.govU.S. Energy Information Administration Independent Statistics & Analysis

New EIA Data Collections andRelevance to System Reliability

For

Working Group on Distribution Reliability

July 29, 2014 | National Harbor, MD

By

Stan Kaplan, Director, Office of Electric, Uranium, and Renewables Statistics

About EIA

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The U.S. Energy Information Administration (EIA) collects,analyzes, and disseminates independent and impartial energyinformation to promote sound policymaking, efficient markets,and public understanding of energy and its interaction with theeconomy and the environment.

For contact information, please see the last slide.

Overview

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• Modified EIA survey forms, implemented in mid-2014, includenew data collections aimed at reliability-related information:

• Distribution system reliability.

• Dispatch flexibility to account for variable renewable capacity.

• Collection of hourly system load (actual and forecast),generation, and interchange.

New Questions Related to DistributionSystem Reliability

(EIA-861 Survey, Annual ElectricPower Industry Report)

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Distribution Reliability Statistics

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• Distribution reliability statistics are usually computed by utilitycompanies. The value of the information is reduced byseveral factors:

– The statistics are hard to find. The main option is to digthrough state public utility commission filings on theInternet.

– The computation methods employed vary from state tostate or from utility to utility – for instance, what timethreshold determines a “momentary” outage.

– Utility service areas differ in many ways, e.g., climate,rural vs urban.

Objective of the data collection

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• Create a central repository of distribution reliability statistics,updated annually, and as comparable as possible in terms ofcalculation method.

• Other comparability factors, such as climate and populationdensity, are beyond the scope of this initial effort.

• Our hope is that making this data readily available will spuradditional work on the interpretation of the statistics.

SAIDI and SAIFI

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• System Average Interruption Frequency Index (SAIFI):

– Total number of customer interruptions / Total number ofcustomers served

• System Average Interruption Duration Index

– Sum of customer interruption durations / Total number ofcustomers served

EIA-861 Distribution Reliability Questions (1)

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EIA-861 Distribution Reliability Questions (2)

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EIA-861 Distribution Reliability Questions (3)

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New Questions Related to Fossil UnitOperational Flexibility

(EIA-860 Survey, Annual ElectricGenerator Report)

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Impact of variable renewable on dispatch –the California duck

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Source: California ISO

Fossil Unit Flexibility (1)

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Combined cycle HRSG bypass

Minimum Standby load

Fossil Unit Flexibility (2)

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Cold-start ramping

Non-spinning reserve ramping

New EIA-930 Survey

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Electricity balancing authorities

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Proposed EIA-930 survey

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Balancing authorities (BAs) would be required to…

12 pm 1 pm 2 pm 3 pm 4 pm 5 pm 6 pm

Monday Tuesday Wednesday Thursday

T-2 T-1 T-0

Every hour, post:• Hourly demand of previous hour

Every day before 7 am, post a set of hourly data:

• Demand forecast for current day (T-0)• Hourly demand, net generation, total net interchange for T-1• Net interchange with each connected BA for T-2

POST

POST

0

5

10

15

20

25

30

35

40

12 AM 6 AM 12 PM 6 PM

Demand

Forecast demand

0

2

4

6

8

10

12

14

16

18

20

12 AM 6 AM 12 PM 6 PM

Demand

Net interchange

Generation

Examples of data

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Bonneville Power AdministrationHourly energy balanceMay 30, 2014gigawatts (GW)

California ISOHourly demand & forecastMay 29, 2014gigawatts (GW)

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The immediacy of the data will allow people to experience the data incontext, significantly enhancing understanding.Many possible uses of the data, including:

• To evaluate the impact of renewable power, smart grid, anddemand response programs on the power industry.

• To provide near real-time information on the recovery of theelectric grid in the wake of disturbances (e.g., hurricanes).

• To provide state and local officials deploying demand responseand dynamic pricing programs information on the impact of theseprograms on consumers.

• To allow policy makers, researchers, market participants andentrepreneurs to invest in technologies and programs to takeadvantage of the time-varying nature of electric operations

Uses of the EIA-930 Data

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• All data will be public and will be made available as rapidly aspossible. (Some data for smaller balancing authorities will betemporarily aggregated.)

• Planned beginning of operation/shake-down period isDecember 1, 2014. Full data release will begin one or twomonths later.

• The data would be “as-is” from automated systems,minimizing survey burden.

• “As-is” data quality should still be good enough for statisticsand analysis. We will be able to track data quality.

Survey Plans

Appendix

Instructions for Distribution SystemReliability Questions

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SCHEDULE 3. PART B. DISTRIBUTION SYSTEMRELIABILITY

INFORMATION - IEEE

If your entity calculates system average interruption

duration index (SAIDI) and system average

interruption frequency index (SAIFI) and determines

Major Event Days in accordance with the IEEE 1366-

2003 or IEEE 1366-2012 standard, answer ‘yes’ to

questions 1 and 2 and complete Part B. If your entity

calculates SAIDI and SAIFI via another method

answer ‘yes’ to question 1 and no to question 2 then

skip Part B and complete Part C. If your entity does

not calculate SAIDI and SAIFI answer ‘no’ to question

1 and go to Schedule 4A. For lines 3 through 6

complete all that you calculate, for example if you only

calculate SAIDI and SAIFI without Major Event Days

included, complete the area under the subtitle

“Excluding Major Events” and do not complete the

area under the subtitle “Including Major Events”

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For more information

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Stan Kaplan | stan.kaplan@eia.gov

U.S. Energy Information Administration home page | www.eia.gov

Survey Forms and Instructions | http://www.eia.gov/survey/

Electric Power Home Page and Publications| www.eia.gov/mer

Electricity Data Browser | http://www.eia.gov/electricity/data/browser/

Electric Power Data Files | http://www.eia.gov/electricity/data/detail-data.html

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